This package implements the R-PCLR (Random-Penalized Conditional Logistic Regression) algorithm for obtaining variable importance. The algorithm is applicable for the analysis of high dimensional data from matched case-control studies.
| Version: | 1.0 |
| Depends: | MASS, survival |
| Published: | 2012-08-19 |
| Author: | Raji Balasubramanian |
| Maintainer: | Raji Balasubramanian <rbalasub at schoolph.umass.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | RPCLR results |
| Reference manual: | RPCLR.pdf |
| Package source: | RPCLR_1.0.tar.gz |
| Windows binaries: | r-devel: RPCLR_1.0.zip, r-release: RPCLR_1.0.zip, r-oldrel: RPCLR_1.0.zip |
| macOS binaries: | r-release: RPCLR_1.0.tgz, r-oldrel: RPCLR_1.0.tgz |
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